Abstract

Holographic data storage (HDS) has attracted much attention as a next-generation storage medium. Because HDS suffers from two-dimensional (2D) inter-symbol interference (ISI), the partial-response maximum-likelihood (PRML) method has been studied to reduce 2D ISI. However, the PRML method has various drawbacks. To solve the problems, we propose a modified decision feedback equalizer (DFE) for HDS. To prevent the error propagation problem, which is a typical problem in DFEs, we also propose a reliability factor for HDS. Various simulations were executed to analyze the performance of the proposed methods. The proposed methods showed fast processing speed after training, superior bit error rate performance, and consistency.

© 2018 Optical Society of America

Nonlinear equalization for holographic data storage systems

An He and George Mathew
Appl. Opt. 45(12) 2731-2741 (2006)

Volume-recorded hologram modeling, point-spread function analysis, and segmented adaptive equalization for holographic data storage

Makoto Hosaka, Toshiki Ishii, and Taku Hoshizawa
Appl. Opt. 58(17) 4678-4686 (2019)

Phase-distribution-aware adaptive decision scheme to improve the reliability of holographic data storage

Yahui Zhao, Fei Wu, Xiao Lin, Meng Zhang, Qin Yu, Xiaodi Tan, and Changsheng Xie
Opt. Express 30(10) 16655-16668 (2022)

Performance improvement of optical wireless communication through fog with a decision feedback equalizer

Marius Aharonovich and Shlomi Arnon
J. Opt. Soc. Am. A 22(8) 1646-1654 (2005)

Transport-of-intensity holographic data storage based on a computer-generated hologram

Naru Yoneda, Yusuke Saita, Koshi Komuro, Teruyoshi Nobukawa, and Takanori Nomura
Appl. Opt. 57(30) 8836-8840 (2018)